{"id":"W7117239239","doi":"10.21083/caree.v1i1.8944","title":"Dual Challenge of Climate Change and Misinformation: How Misinformation Shapes Vulnerability and Adaptation in Rural Communities in Pakistan","year":2025,"lang":"","type":"article","venue":"Canadian Agri-food & Rural Advisory Extension and Education Journal","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Misinformation; Focus group; Climate change; Vulnerability (computing); Livelihood; Psychological resilience; Thematic analysis; Adaptive capacity; Risk perception; Climate risk","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002375935,0.0003095122,0.0004520382,0.001258205,0.001376488,0.0004953042,0.0001898952,0.0002947933,0.0002599369],"category_scores_gemma":[0.0002220265,0.0003134999,0.00006506996,0.0006603188,0.00054845,0.002255797,0.00009004933,0.0007463385,0.000002455739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005708244,"about_ca_system_score_gemma":0.0009146172,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02832668,"about_ca_topic_score_gemma":0.3774042,"domain_scores_codex":[0.9970208,0.0009188538,0.001093216,0.0001589398,0.0002868017,0.000521416],"domain_scores_gemma":[0.9977837,0.0002803178,0.0005587991,0.0002384582,0.0005296237,0.0006091608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001046696,0.0001143848,0.008744664,0.0003464151,0.00001302694,5.398743e-7,0.2515861,0.000008456685,0.00002146237,0.004987919,0.0001483367,0.733924],"study_design_scores_gemma":[0.0008243775,0.0001680586,0.3954546,0.001446274,0.00002667585,0.00003086574,0.5907577,0.003688056,8.505996e-7,0.001825365,0.005519261,0.0002578833],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9495943,0.01086779,0.000006296668,0.03381964,0.0006533189,0.0007448324,0.00006873389,0.00001283178,0.004232233],"genre_scores_gemma":[0.8561173,0.1424834,0.00008276545,0.0009588028,0.0001216701,0.00002954607,0.0001324166,0.000008915219,0.00006518634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7336662,"threshold_uncertainty_score":0.9999317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1890362609158872,"score_gpt":0.3668619728608218,"score_spread":0.1778257119449346,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}